iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3069
Single Precision Score
5361
Half Precision Score
4415
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | natkat |
| Upload Date | February 05 2026 09:51 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1303
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.7 IPS |
|
|
Image Classification (Q)
|
96% |
1557
290.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2526
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6001
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14105
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12127
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (HP)
|
97% |
2401
191.1 IPS |
|
|
Object Detection (Q)
|
94% |
1780
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
2962
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5429
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3167
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5469
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10401
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7345
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16482
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26189
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21810
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3449
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4596
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3498
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3969
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4639
80.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4648
80.3 IPS |
